Th2-high asthma: a heterogeneous asthma population?

high patients had cytokine mRNA levels above the 90 th percentile value in controls. Unsupervised hierarchical clustering was used to determine unique cytokine-based patient clusters. Results Cubic Clustering Criterion, pseudo F and t 2 statistics revealed a two- and a six-cluster model. The first cluster (n=23) was found in both models and consists of patients who present with an “IL-5-high and IL-17F-high” profile. Patients with an “IL-4- or IL-13-high” profile did not cluster in one single group. In the six-cluster model, the “IL-17F-low” group was divided into 5 separate clusters: “IL-5-high” profile (n=7), “IFN-g-high” profile (n=15), “IL-6- and/or TNF-high” profile (n=15), “IL-22-high” profile (n=15) and those patients that were low for all preceding cytokines (n=130; cluster 6). “IL-17F- and IL-5-high” patients had significantly lower FEV1 and higher sputum neutrophils. Patients that were only “IL-4or IL-13-high” (cluster 6) had highest FENO levels and sputum eosinophils. Conclusion Th2-high asthma can be subdivided in patients with “IL-5-high and IL-17F-high” asthma and those with “IL4- or IL-13-high” asthma. The inflammatory pattern is different between both groups. The former group is characterized by mixed granulocytic airway inflammation whereas the latter group consists of patients with eosinophilic airway inflammation.